Stochastic Evolutionary Game Dynamics of Resource Allocation in Finite Grid Population

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Abstract:

Aiming at addressing the problem of optimal allocation of grid resource, a stochastic dynamics model is proposed to research evolutionary game of resource allocation in finite grid population in this paper. The focal point of this model is using a Moran process with frequency dependent selection to find the condition for selection favoring the invasion index and fixation index of gird user’s strategy during the repeated game. Then, according to the characteristics of economic grid, we establish a fixed utility matrix of grid users to quantify the strategy selection dynamics. The numerical experiments show that the strategy of individuals will develop towards different directions under different grid population size for maximizing its own utility.

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Advanced Materials Research (Volumes 255-260)

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2850-2854

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May 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] I.Foster,C. Kesselman and J.M. Nick et al:Computer Vol.35(2002),pp.37-46.

Google Scholar

[2] D.M. Batista N.L.S.da Fonseca and F.K. Miyazawa et al:Computer Networks Vol.52(2008), pp.1762-1781.

Google Scholar

[3] LI Zhi-Jie,CHENG Chun-Tian and HUANG Fei-Xue et al:Journal of Software Vol.17(2006), pp.2373-2383,in Chinese.

Google Scholar

[4] Altman E, Barman D and Azouzi R et al:Computer Networks Vol.50(2006),pp.982-1002.

Google Scholar

[5] S.Chen:Ecological Modelling Vol.221(2010),pp.1847-1851.

Google Scholar

[6] Kwok Y K, ShanShan Song and Kai Hwang: Proceedings of the IEEE International Symposium on Cluster Computing and the Grid, 2005,pp.349-356.

Google Scholar

[7] Maheswaran R T and Basar T:Group Decision and Negotiation Vol.12(2003),pp.361-395.

Google Scholar

[8] Z.J.Li and C.T. Cheng:Concurrency and Computation:Practice & Experience Vol.21(2009), pp.1205-1223.

Google Scholar

[9] C.Taylor, D.Fudenberg and A. Sasaki et al:Bulletin of Mathematical Biology Vol.66(2004), pp.1621-1644.

Google Scholar

[10] Moran and P.A.P:The Statistical Processes of Evolutionary Theory(Clarendon Press,Oxford 1962).

Google Scholar